I have two datasets from adjacent areas, that were collected separately but have sufficient overlap that I believe they should be able to map as a single task.
Dataset 1 has ground control points, and processes cleanly, with good repeatability to historic data.
Dataset 2 does not have control points, as it was collected as an afterthought, but extends from one edge of dataset one.
When processed separately, each dataset looks good. Dataset 2 has some height issues due to the lack of GCPs but correct general trend is there.
When I try to process together, the resulting orthophoto, surface model and point cloud, only seem to cover Dataset 1. I thought at first that the images from dataset 2 were not being used correctly, but when I check their positions, they show up on the map, but in the wrong place, with no data below them!?
Sure, It’s pretty large but I’ll try and upload and send a link.
I did try the data without GCPs and got the same result. (I thought the distance from the GCP’s may have been an issue).
Data were all acquired using Drone Deploy, so settings should be similar. The one flight was done with a Mavic Pro, while the other was a Mavic Pro platinum. As I understand it they should have the same camera/sensor setup, and it’s only the props/ESCs/motors that changed between the two models.
Woody, you have a PM! If anyone else would like to try the dataset please let me know and I’ll drop you a PM with a link. (It’s a commercial/research dataset, so prefer for it not to be publicly available at this stage).
The dataset has some of it’s own issues, motion blur etc, but as they have reconstructed separately, I don’t think that should be an issue here.